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  4. Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore

Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems: A Case Study in Singapore

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Author(s)
Spieser, Kevin
•
Treleaven, Kyle Ballantyne
•
Zhang, Rick
•
Frazzoli, Emilio
•
Morton, Daniel
•
Pavone, Marco
Date Issued
April 24, 2014
Journal
Road Vehicle Automation, Springer Lecture Notes in Mobility series
Publisher
Springer-Verlag
Citation
Spieser, Kevin, Kyle Treleaven, Rick Zhang, Emilio Frazzoli, Daniel Morton, and Marco Pavone. "Toward a Systematic Approach to the Design and Evaluation of Automated Mobility-on-Demand Systems A Case Study in Singapore." Chapter in Road Vehicle Automation, Gereon Meyer, Sven Beiker (Editors). Berlin: Springer, 2014, pp.229-245. (Lecture Notes in Mobility series)
Version
Author's final manuscript
Abstract
The objective of this work is to provide analytical guidelines and financial justification for the design of shared-vehicle mobility-on-demand systems. Specifically, we consider the fundamental issue of determining the appropriate number of vehicles to field in the fleet, and estimate the financial benefits of several models of car sharing. As a case study, we consider replacing all modes of ion in a city such as Singapore with a fleet of shared automated vehicles, able to drive themselves, e.g., to move to a customer’s location. Using actual transportation data, our analysis suggests a shared-vehicle mobility solution can meet the personal mobility needs of the entire population with a fleet whose size is approximately 1/3 of the total number of passenger vehicles currently in operation.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Singapore-MIT Alliance in Research and Technology (SMART)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/86228
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